8 research outputs found

    Production As Analysis In Commercial Music Recordings

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    Since the 1960s, scholarship of popular music in the fields of musicology and music theory has blossomed (Kajanová 2013). The inclusion of the social sciences and humanities in music analysis has allowed for new methodologies in commercial music analysis. Although new methodologies have been developed around popular song analysis, they are notably absent in the field of music production (Blake 2012, 1). In this thesis, I will assert that music production is an under-explored facet of commercial music that offers abundant opportunities for analysis

    To reverse engineer an entire nervous system

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    There are many theories of how behavior may be controlled by neurons. Testing and refining these theories would be greatly facilitated if we could correctly simulate an entire nervous system so we could replicate the brain dynamics in response to any stimuli or contexts. Besides, simulating a nervous system is in itself one of the big dreams in systems neuroscience. However, doing so requires us to identify how each neuron's output depends on its inputs, a process we call reverse engineering. Current efforts at this focus on the mammalian nervous system, but these brains are mind-bogglingly complex, allowing only recordings of tiny subsystems. Here we argue that the time is ripe for systems neuroscience to embark on a concerted effort to reverse engineer a smaller system and that Caenorhabditis elegans is the ideal candidate system as the established optophysiology techniques can capture and control each neuron's activity and scale to hundreds of thousands of experiments. Data across populations and behaviors can be combined because across individuals the nervous system is largely conserved in form and function. Modern machine-learning-based modeling should then enable a simulation of C. elegans' impressive breadth of brain states and behaviors. The ability to reverse engineer an entire nervous system will benefit the design of artificial intelligence systems and all of systems neuroscience, enabling fundamental insights as well as new approaches for investigations of progressively larger nervous systems.Comment: 23 pages, 2 figures, opinion pape
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